A Review of MPPT Algorithms for Partial Shading Conditions

Erdem, Zekiye

doi:10.12693/aphyspola.132.1128

Cited by 11 publications

(3 citation statements)

References 25 publications

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“…There are many challenges that face the process of MPPT, and one of these major challenges is partial shading (PS). PS takes place when a part of the PV array is shaded by a body or a cloud leading to a huge drop in the output power in addition to a distortion in the power-voltage characteristics, as shown in Figure 1 [19], which make PS quite an important issue for MPPT control. The distorted power-voltage characteristics result in multiple peaks on the curve.…”

Section: Introductionmentioning

confidence: 99%

An Optimized PV Control System Based on the Emperor Penguin Optimizer

et al. 2021

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During the day, photovoltaic (PV) systems are exposed to different sunlight conditions in addition to partial shading (PS). Accordingly, maximum power point tracking (MPPT) techniques have become essential for PV systems to secure harvesting the maximum possible power from the PV modules. In this paper, optimized control is performed through the application of relatively newly developed optimization algorithms to PV systems under Partial Shading (PS) conditions. The initial value of the duty cycle of the boost converter is optimized for maximizing the amount of power extracted from the PV arrays. The emperor penguin optimizer (EPO) is proposed not only to optimize the initial setting of duty cycle but to tune the gains of controllers used for the boost converter and the grid-connected inverter of the PV system. In addition, the performance of the proposed system based on the EPO algorithm is compared with another newly developed optimization technique based on the cuttlefish algorithm (CFA). Moreover, particle swarm optimization (PSO) algorithm is used as a reference algorithm to compare results with both EPO and CFA. PSO is chosen since it is an old, well-tested, and effective algorithm. For the evaluation of performance of the proposed PV system using the proposed algorithms under different PS conditions, results are recorded and introduced.

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Section: Introductionmentioning

confidence: 99%

An Optimized PV Control System Based on the Emperor Penguin Optimizer

et al. 2021

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“…Manickam et al [24] have proposed a hybrid algorithm by combining P&O and particle swarm optimization (PSO), which performs P&O and PSO under UIC case and PSC case, respectively. The drawback of this method is that if the PSC detection fails, this algorithm will never shift to PSO [25]. Mohanty et al [26] have presented a hybrid MPPT algorithm that combines grey wolf optimization (GWO) with P&O to overcome the problem of low tracking efficiency and steady state oscillation.…”

Section: Introductionmentioning

confidence: 99%

A Modified INC Method for PV String Under Uniform Irradiance and Partially Shaded Conditions

Cheng

Yang

2020

IEEE Access

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Due to the bypass diodes, the partially shaded photovoltaic (PV) string exhibits multiple peaks in the P-V curve. And the conventional Maximum Power Point Tracking (MPPT) methods are not capable of tracking the global peak (GP) under partially shaded condition (PSC). In order to track the GP fast and efficiently under uniform irradiance condition (UIC) and PSC, a modified incremental conductance (INC) method is proposed in this paper. This method can not only detect the occurrence of PSC, but also determine if the other peaks need to be tracked under PSC by using the relationship between the minimum current at other peaks and the short circuit current to enhance the tracking speed. In order to improve efficiency, the converter duty cycle will be regulated slightly to ensure that the operating point reaches in the vicinity of GP, after the approximate GP is located. The Matlab simulation results show that the proposed method is faster and more efficient than other methods. It only requires 3 and 11 sampling cycles to locate the GP under UIC and PSC, respectively. Its overall tracking efficiency is increased by 13.61%, 4.28% and 0.42% under UIC, PSC and one-day irradiance profile respectively, compared to the conventional INC method. INDEX TERMS PV string, maximum power point tracking (MPPT), global peak (GP), uniform irradiance condition (UIC), partially shaded condition (PSC)

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“…Electrical methods use electrical signals data as the input data to the fault diagnosis systems. * corresponding author; e-mail: yasemin.onal@bilecik.edu.tr These methods can be classified among themselves as to be I-V characteristics analysis, power losses analysis, voltage and current measurement, statistical and signal processing approaches, and artificial intelligence techniques [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Photovoltaic Fault Detection and Classification Using Common Vector Approach Based on I-V Curve

Turhal

Onal

2020

Acta Phys. Pol. A

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Photovoltaic systems are subject to various faults. These faults result in significant degradation in photovoltaic system performances. These degradations result in a significant reduction in system efficiency as a result of increase in operating costs and times of exclusion of the photovoltaic system. Therefore, health monitoring and high accuracy error detection are extremely important for a photovoltaic system. In this study, fault detection and classification in photovoltaic systems are performed by using common vector approach which is first proposed in the literature for speech recognition and then is applied for face recognition. The faulty conditions discussed in the study are partial shading and series resistance degradation. In both fault detection situations, the common vector approach method is used to determine the type of fault using simulation data obtained under healthy operation and faulty operation conditions and very high fault detection rates are obtained. In order to evaluate the accuracy of the proposed method, the data obtained are also evaluated with the principal component analysis method, which is previously presented for photovoltaic system fault detection in the literature. According to the results obtained, principal component analysis method completely fails in case of serial resistance degradation fault. However, by using common vector approach method proposed in this study, a very high fault detection rate such as 97.5% can be obtained in serial resistance degradation fault. Likewise, in the case of partial shading, higher fault detection rate is achieved in common vector approach method (99.6%) compared to principal component analysis method (95.4%).

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A Review of MPPT Algorithms for Partial Shading Conditions

Cited by 11 publications

References 25 publications

An Optimized PV Control System Based on the Emperor Penguin Optimizer

An Optimized PV Control System Based on the Emperor Penguin Optimizer

A Modified INC Method for PV String Under Uniform Irradiance and Partially Shaded Conditions

Photovoltaic Fault Detection and Classification Using Common Vector Approach Based on I-V Curve

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